Instructions to use Bharon/capcha_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bharon/capcha_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Bharon/capcha_1") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Bharon/capcha_1") model = AutoModelForImageClassification.from_pretrained("Bharon/capcha_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecf276f1b8f80b6e0a0dcb4f8aabcfc6b229e53d324b76da60834cfd9360c38f
- Size of remote file:
- 343 MB
- SHA256:
- 645ab3cb9adf21723ae82fe38408f25411d0918830eb411cca9e05fb0fb4449b
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